Green Virtual Network Embedding in optical OFDM cloud networks

Nonde, Leonard; El-Gorashi, Taisir E. H.; Elmirghani, Jaafar M. H.

doi:10.1109/icton.2014.6876422

Cited by 10 publications

(9 citation statements)

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…It is our belief that overall substrate resource use is improved if the incoming media cloud request is mapped to the MEC-DCs simultaneously for both its networking and computing requirements. Our approach, proposed in "Media edge cloud resource allocation approach" section, has two crucial improvements over related works in the literature [11][12][13][14][15][16][17][18][19][20]20]. The first improvement is a resource allocation strategy that uses the physical characteristics of the networking layer to reduce the deployment cost.…”

Section: Introductionmentioning

confidence: 99%

Efficient resource allocation and dimensioning of media edge clouds infrastructure

et al. 2017

View full text Add to dashboard Cite

Media Edge Cloud Data Centers (MEC-DCs) that are interconnected by a Metro Network were selected as infrastructure to enhance the Quality of Experience (QoE) for end users of multimedia applications. Unlike the traditional Data Centers, MEC-DCs, which are kept closer to the user, have limited availability of resources at a given Data Center. Therefore, it is of paramount importance for Infrastructure service providers to efficiently dimension and use the media resources in an environment where the applications have high resource demand and the infrastructure has limited availability. To perform this task dynamically, we first propose a resource allocation strategy that considers the physical characteristics of the networking layer while minimizing the costs of deploying media applications. Second, we analyze the different configurations of the networking layer in order to enhance the use of MEC-DCs resources and the QoE for the end-users. Simulation results show a clear advantage of this proposed optimization-based approach over the benchmarks in terms of provisioning costs, blocking ratio and resource use.

show abstract

Section: Introductionmentioning

confidence: 99%

Efficient resource allocation and dimensioning of media edge clouds infrastructure

et al. 2017

View full text Add to dashboard Cite

show abstract

“…Virtual network embedding in power minimized IP over O-OFDM saves 63% of the optical layer power consumption compared to VNE in IP over WDM while the spectrum minimized virtual network embedding saves 17% of the optical layer power consumption compared to the WDM implementation [6]. The power minimized O-OFDM network selects routes and modulation formats that result in minimum power consumption while the spectrum minimized O-OFDM selects routes that can support the highest modulation format to minimise the used spectrum.…”

Section: B Energy Efficient Virtual Network Embedding In Optical Ofdmentioning

confidence: 99%

“…BVTs can adjust their actual transmission rate in response to the actual traffic demand through expansion or contraction of the optical path by varying the number of subcarriers used or the modulation format of subcarriers. By deploying optical OFDM (O-OFDM) as the underlying technology in the optical layer, replacing WDM, the virtual network embedding problem therefore extends all the way to the selection of the number of subcarriers and modulation format used during the link provisioning phase in the substrate network [5], [6].…”

Section: B Energy Efficient Virtual Network Embedding In Optical Ofdmentioning

confidence: 99%

Energy efficient cloud networks

Nonde¹,

Lawey²,

El-Gorashi³

et al. 2016

2016 12th International Conference on Network and Service Management (CNSM)

Self Cite

View full text Add to dashboard Cite

Abstract-Cloud computing is expected to be a major factor that will dominate the future Internet service model. This paper summarizes our work on energy efficiency for cloud networks. We develop a framework for studying the energy efficiency of four cloud services in IP over WDM networks: cloud content delivery, storage as a service (StaaS), and virtual machines (VMS) placement for processing applications and infrastructure as a service (IaaS).Our approach is based on the co-optimization of both external network related factors such as whether to geographically centralize or distribute the clouds, the influence of users' demand distribution, content popularity, access frequency and renewable energy availability and internal capability factors such as the number of servers, switches and routers as well as the amount of storage demanded in each cloud. Our investigation of the different energy efficient approaches is backed with Mixed Integer Linear Programming (MILP) models and real time heuristics.

show abstract

“…We addressed the link embedding problem as a multilayer problem that includes both the IP layer and the optical layer in an IP over WDM network and considered the granular power consumption of various network devices as well as the power consumption in data centers. In [10], we extended our study to investigate the energy efficiency of VNE in optical OFDM networks. In [11] and [12], we have looked at green IP over WDM networks with data centers where we employ renewable energy sources and consider data center location optimization to minimize energy consumption.…”

Section: Introductionmentioning

confidence: 99%

Cloud Virtual Network Embedding: Profit, Power and Acceptance

Nonde

El-Gorashi

Elmirghani

2015

2015 IEEE Global Communications Conference (GLOBECOM)

Self Cite

View full text Add to dashboard Cite

Abstract-In this paper, we investigate maximizing the profit achieved by infrastructure providers (InPs) from embedding virtual network requests (VNRs) in IP/WDM core networks with clouds. We develop a mixed integer linear programming (MILP) model to study the impact of maximizing the profit on the power consumption and acceptance of VNRs. The results show that higher acceptance rates do not necessarily lead to higher profit due to the high cost associated with accepting some of the requests. The results also show that minimum power consumption can be achieved while maintaining the maximum profit.

show abstract

Green Virtual Network Embedding in optical OFDM cloud networks

Cited by 10 publications

References 15 publications

Efficient resource allocation and dimensioning of media edge clouds infrastructure

Efficient resource allocation and dimensioning of media edge clouds infrastructure

Energy efficient cloud networks

Cloud Virtual Network Embedding: Profit, Power and Acceptance

Contact Info

Product

Resources

About